Sr Manager Machine Learning (AIOps)

Key Skills

Aartificial intelligence, AIOps, Deep Learning, HuggingFace, Java Programming, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Statistics, TensorFlow, Transformer

Job Description

You will be able to build a career applying Machine Learning and AI to different challenges around Firewalls and Network Security Operations in general. 

From Timeseries techniques like Anomaly Detection and forecasting, passing through Causality techniques for Root Cause Analysis, all the way to recent advances like Generative AI, you will never be out of exciting challenges.

You will help to create AI solutions on top of one of the biggest data lakes with exabytes of data and hundreds of thousands of devices constantly sending telemetry. 

At Palo Alto Networks, Sr. Managers of Engineering are:

• Experts that have not only the technical experience to take on and provide technical leadership to major projects but also manage a team of engineers and data scientists
• Committed professionals who deliver on critical business needs and are recognized across the organization as go-to engineering resources on given domains
• Role models and mentors who lead by example and are willing to be hands-on when the team or the business needs it
• Leaders who can communicate effectively and succinctly with hands-on engineers as well as executives

Your Impact

• You will work in a fast-paced team to create and deliver new features in a speedboat product that many customers use daily to ensure their network operation is healthy and secure
• You will be part of a team using ML and AI to redefine the way Network Security operations are done
• You will help to design and develop AI/ML frameworks that allow us to apply algorithms at the scale of hundreds of thousands of devices reporting thousand of metrics in per minute bases
• You will collaborate in the design of user experiences that allow users to consume deep and complex insights in an easy and manageable way

Your Experience

• M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required
• 10+ years of industry experience in Machine Learning techniques and data analysis - Experience with Timeseries, Causality, and NLP (specially LLM) is a big plus
• 8+ experience in design, algorithms, and data structures - Expertise with one or more of the following languages is a must - Java, Python
• Proven capacity to go beyond ML algorithms and models by contributing in the design and implementation of services and pipelines that expose ML artifacts
• Proven leadership skills with an ability to deliver under tight deadlines
• Proven ability to collaborate with many cross-functional teams with an emphasis on end-to-end delivery
• Experience with deep learning frameworks such as PyTorch and TensorFlow, Huggingface Transformers, or related is a big plus
• Thorough understanding of ML Ops best practices like algorithms/models monitoring and orchestration - Experience working with Google Vertex AI platform will be a plus
• Capacity to become a self-driven individual contributor and an excellent team player when the teams and the business requires it

The Team

We are on a mission to build the industry's best AIOps product that enables our customers to keep their network healthy and secure thanks to AI and ML.

Our engineering team is at the core of the application of AI at a large scale – challenging how we, and the industry, think about security network operations.

We are constantly chasing the next big challenge to produce the most significant value for our customers. And that's why we need individuals who feel comfortable in ambiguity and are willing to be creative to find the best balance between innovation and speed.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $187,000/yr to $275,000/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here .